Canvas V→XC D Question 5 i A 文 X After viewing the regression test below, select the percentage of the variability in gestational age that is explained by maternal age. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .065° .004 -.039 1.577 a. Predictors: (Constant). How old (in years) were you when you delivered? ANOVA Model Sum of Squares df Mean Square F Sig. Regression .243 1 243 .098 757b Residual 57.197 Total 23 23 2.487 57.440 24 24 a. Dependent Variable: At what gestational age was your baby born? b. Predictors: (Constant), How old (in years) were you when you delivered? Coefficients Model Unstandardized Coefficients Standardized Coefficients Sig. B Std. Error Beta (Constant) 40.017 2.253 17.759 .000 1 How old (in years) were you when you delivered? -.025 .079 -.065 -.313 1757 a. Dependent Variable: At what gestational age was your baby born? O 0.4% 6.5% 0.0% 75.7% ◄ Previous

Canvas V→XC D Question 5 i A 文 X After viewing the regression test below, select the percentage of the variability in gestational age that is explained by maternal age. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .065° .004 -.039 1.577 a. Predictors: (Constant). How old (in years) were you when you delivered? ANOVA Model Sum of Squares df Mean Square F Sig. Regression .243 1 243 .098 757b Residual 57.197 Total 23 23 2.487 57.440 24 24 a. Dependent Variable: At what gestational age was your baby born? b. Predictors: (Constant), How old (in years) were you when you delivered? Coefficients Model Unstandardized Coefficients Standardized Coefficients Sig. B Std. Error Beta (Constant) 40.017 2.253 17.759 .000 1 How old (in years) were you when you delivered? -.025 .079 -.065 -.313 1757 a. Dependent Variable: At what gestational age was your baby born? O 0.4% 6.5% 0.0% 75.7% ◄ Previous

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 17HP

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Using your dataset, run a regression of Y=GPA and X=# Friends.(do not need your actual data, just the regression results)a) State what this regression is attempting to analyze. “By running this regression, we areattempting to show.....”b) Write out the regression equation and describe what it shows (if Friends increase by 1, then. . . ).c) Find your hypothesized GPA when the # friends equals 17.d) Is the slope of # of Friends significantly different from zero?Include Ho, Ha, decision rule, t statistic from table, tc, decision, and conclusion.e) Is the r-squared of # of Friends significantly different from zero?Include Ho, Ha, decision rule, F statistic from table, Fc, decision, and conclusion.
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